Application of factor analysis in course evaluation. - Dijana Oreski; Petra Peharda (ITI, 2008)

Prediction of academic performance using discriminant analysis. - Blazenka Divjak; Dijana Oreski (ITI, 2009)

Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment. - Stjepan Oreski; Dijana Oreski; Goran Oreski (Expert Syst. Appl., 2012)

Evaluacija tehnika otkrivanja kontrasta za potrebe selekcije atributa radi klasifikacije ; Evaluation of contrast mining techniques for feature selection in classification. - Dijana Oreski (2014)

Analysis of phishing attacks against students. - Jakov Andric; Dijana Oreski; Tonimir Kisasondi (MIPRO, 2016)

Monte-Carlo randomized algorithm: Empirical analysis on real-world information systems. - Robert Kudelic; Dijana Oreski; Mario Konecki (MIPRO, 2016)

Fuzzy knowledge-based system for calculating course difficulty based on student perception. - Matija Novak; Dijana Oreski (Comput. Appl. Eng. Educ., 2016)

Handling Sparse Data Sets by Applying Contrast Set Mining in Feature Selection. - Dijana Oreski; Mario Konecki (J. Softw., 2016)

Estimating profile of successful IT student: Data mining approach. - Dijana Oreski; Mario Konecki; Luka Milic (MIPRO, 2017)

Effects of dataset characteristics on the performance of feature selection techniques. - Dijana Oreski; Stjepan Oreski; Bozidar Klicek (Appl. Soft Comput., 2017)

Analysis of student behavior and success based on logs in Moodle. - Nikola Kadoic; Dijana Oreski (MIPRO, 2018)

Using Semantic Web for Internet of Things Interoperability: A Systematic Review. - Darko Androcec; Matija Novak; Dijana Oreski (Int. J. Semantic Web Inf. Syst., 2018)

Data-driven decision-making in classification algorithm selection. - Dijana Oreski; Nina Begicevic Redep (J. Decis. Syst., 2018)

Genetic algorithm and artificial neural network for network forensic analytics. - Dijana Oreski; Darko Androcec (MIPRO, 2020)

Learning Analytics of YouTube Videos Linked to LMS Moodle. - Nikola Kadoic; Dijana Oreski (MIPRO, 2021)

Smart Agriculture and Digital Transformation on Case of Intelligent System for Wine Quality Prediction. - Dijana Oreski; Igor Pihir; K. Cajzek (MIPRO, 2021)

Using descriptive and predictive learning analytics to understand student behavior at LMS Moodle. - Dijana Oreski (eLearning, 2022)

Discretization of numerical meta-features into categorical: analysis of educational and business data sets. - Dijana Oreski; Dunja Visnjic; Nikola Kadoic (MIPRO, 2022)

Framework of Intelligent System for Machine Learning Algorithm Selection in Social Sciences. - Dijana Oreski (J. Softw., 2022)

Student Modeling with Clustering: Comparative Analysis of Case Studies in Two Higher Educational Institutions from Different Countries. - Dijana Oreski; Emilija Kisic; Jovana Jovic; Miroslava Raspopovic Milic (eLearning, 2023)

What Do Students Think About Learning Supported by e-Schools Digital Educational Resources? - Goran Hajdin; Dijana Plantak Vukovac; Dijana Oreski (HCI (30), 2023)

Comparison of Artificial Neural Networks Algorithms on Datasets with Different Characteristics. - Bruno Pilosta; Dijana Oreski; Nikola Kadoic (IntelliSys (1), 2023)

Clustering of Croatian Software Development Companies Based on Their Financial Indicators. - Irena Konecki; Dijana Oreski; Nikola Kadoic (MIPRO, 2023)

Comparative Analysis of Machine Learning Algorithms on Data Sets of Different Characteristics for Digital Transformation. - Dijana Oreski; Igor Pihir; Dunja Visnjic (MIPRO, 2023)

A Multidimensional Model of the New Work Environment in the Digital Age to Increase a Company's Performance and Competitiveness. - Maja Rozman; Dijana Oreski; Polona Tominc (IEEE Access, 2023)

Artificial Intelligence and Agility-Based Model for Successful Project Implementation and Company Competitiveness. - Polona Tominc; Dijana Oreski; Maja Rozman (Inf., 2023)

Retrieval Augmented Generation in Large Language Models: Development of AI Chatbot for Student Support. - Dijana Oreski; Dino Vlahek (eLearning, 2024)

AI Literacy Among University Students: A Comparative Study of Three Countries - Slovenia, Croatia, and India. - Maja Rozman; Dijana Oreski; Arun Elias; Minnu F. Pynadath; Polona Tominc (IEEE Access, 2025)